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Efficient Comment Classification through NLP and Fuzzy Classification

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Efficient Comment Classification through NLP and Fuzzy Classification


Shubham Derhgawen | Himaja Gogineni | Subhasish Chatterjee | Rajesh Tak



Shubham Derhgawen | Himaja Gogineni | Subhasish Chatterjee | Rajesh Tak "Efficient Comment Classification through NLP and Fuzzy Classification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3, April 2020, pp.1000-1006, URL: https://www.ijtsrd.com/papers/ijtsrd30758.pdf

A significant increase has been noticed in the number of people that are utilizing the internet paradigm for various purposes such as accessing various portals such as Social media and E-commerce websites. Due to their immense popularity, these platforms have seen remarkable growth and an increasing user base that is constantly interacting on the platform through the use of comments. These comments are mostly the users assisting each other on the platform in making the right decision. These comments can range from helpful to sarcastic, which can be highly difficult for a Natural Language Processing platform to determine. Supervised machine learning approach requires labels such as star ratings in reviews to understand the reviews and classify. These labels need to be reliable, whereas as they are entered by users, they could be misleading. Therefore, in this paper, an unsupervised approach towards the automatic classification of comments has been outlined in much detail. The proposed methodology utilizes an innovative combination of Term Frequency – Inverse Document Frequency (TF-IDF) in addition to the NLP paradigm along with the addition of the Entropy Estimation through Shannon Information gain. This procedure can effectively disintegrate the sentence into its basic form which can then ultimately be classified using the Fuzzy Classification technique.

Natural Language Processing, Fuzzy Classification, Tf-IDF, Pearson Correlation


IJTSRD30758
Volume-4 | Issue-3, April 2020
1000-1006
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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